The information retrieval experiment platform
We integrate irdatasets, ir_measures, and PyTerrier with TIRA in the Information Retrieval
Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and …
Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and …
MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of Datasets.
R Van Der Goot - Proceedings of the 17th International Workshop …, 2023 - aclanthology.org
To improve the ability of language models to handle Natural Language Processing (NLP)
tasks and intermediate step of pre-training has recently beenintroduced. In this setup, one …
tasks and intermediate step of pre-training has recently beenintroduced. In this setup, one …
Jack-flood at SemEval-2023 Task 5: Hierarchical Encoding and Reciprocal Rank Fusion-Based System for Spoiler Classification and Generation
The rise of social media has exponentially witnessed the use of clickbait posts that grab
users' attention. Although work has been done to detect clickbait posts, this is the first task …
users' attention. Although work has been done to detect clickbait posts, this is the first task …
Ml mob at semeval-2023 task 5:“breaking news: Our semi-supervised and multi-task learning approach spoils clickbait”
Online articles using striking headlines that promise intriguing information are often used to
attract readers. Most of the time, the information provided in the text is disappointing to the …
attract readers. Most of the time, the information provided in the text is disappointing to the …
Mr-wallace at semeval-2023 task 5: Novel clickbait spoiling algorithm using natural language processing
This paper presents a model for clickbait spoiling, which aims at generating short texts that
satisfy thecuriosity induced by a clickbait post. The modelis split into two tasks: identifying …
satisfy thecuriosity induced by a clickbait post. The modelis split into two tasks: identifying …
Matt bai at semeval-2023 task 5: Clickbait spoiler classification via bert
Abstract The Clickbait Spoiling shared task aims at tackling two aspects of spoiling:
classifying the spoiler type based on its length and generating the spoiler. This paper …
classifying the spoiler type based on its length and generating the spoiler. This paper …
Chick adams at semeval-2023 task 5: Using roberta and deberta to extract post and document-based features for clickbait spoiling
In this manuscript, we describe the participation of the UMUTeam in SemEval-2023 Task 5,
namely, Clickbait Spoiling, a shared task on identifying spoiler type (ie, a phrase or a …
namely, Clickbait Spoiling, a shared task on identifying spoiler type (ie, a phrase or a …
Clark kent at semeval-2023 task 5: Svms, transformers, and pixels for clickbait spoiling
DS Mihalcea, S Nisioi - … of the 17th International Workshop on …, 2023 - aclanthology.org
In this paper we present an analysis of our approaches for the 2023 SemEval-2023 Clickbait
Challenge. We only participated in the sub-task aiming at identifying different clikcbait …
Challenge. We only participated in the sub-task aiming at identifying different clikcbait …
John boy walton at semeval-2023 task 5: An ensemble approach to spoiler classification and retrieval for clickbait spoiling
M Shmalts - Proceedings of the 17th International Workshop on …, 2023 - aclanthology.org
Clickbait spoiling is a task of generating or retrieving a fairly short text with a purpose to
satisfy curiosity of a content consumer without their addressing to the document linked to a …
satisfy curiosity of a content consumer without their addressing to the document linked to a …
Sam miller at semeval-2023 task 5: Classification and type-specific spoiler extraction using xlnet and other transformer models
P Störmer, T Esser, P Thomasius - Proceedings of the 17th …, 2023 - aclanthology.org
This paper proposes an approach to classify andan approach to generate spoilers for
clickbaitarticles and posts. For the spoiler classification, XLNET was trained to fine-tune a …
clickbaitarticles and posts. For the spoiler classification, XLNET was trained to fine-tune a …